Cargando…
CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database
BACKGROUND: The University of Kansas Alzheimer’s Disease Center (KU ADC) maintains several large databases to track participant recruitment, enrollment, and capture various research-related activities. It is challenging to manage and coordinate all the research-related activities. One of the crucial...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327371/ https://www.ncbi.nlm.nih.gov/pubmed/34350395 http://dx.doi.org/10.1093/jamiaopen/ooab060 |
_version_ | 1783732060756639744 |
---|---|
author | Sharma, Palash Montgomery, Robert N Graves, Rasinio S Meyer, Kayla Hunt, Suzanne L Vidoni, Eric D Mahnken, Jonathan D Swerdlow, Russell H Burns, Jeffrey M Mudaranthakam, Dinesh Pal |
author_facet | Sharma, Palash Montgomery, Robert N Graves, Rasinio S Meyer, Kayla Hunt, Suzanne L Vidoni, Eric D Mahnken, Jonathan D Swerdlow, Russell H Burns, Jeffrey M Mudaranthakam, Dinesh Pal |
author_sort | Sharma, Palash |
collection | PubMed |
description | BACKGROUND: The University of Kansas Alzheimer’s Disease Center (KU ADC) maintains several large databases to track participant recruitment, enrollment, and capture various research-related activities. It is challenging to manage and coordinate all the research-related activities. One of the crucial activities involves generating a consensus diagnosis and communicating with participants and their primary care providers. PROCESS: To effectively manage the cohort, the KU ADC utilizes a combination of open-source electronic data capture (EDC) (i.e. REDCap), along with other homegrown data management and analytic systems developed using R-studio and Shiny. PROCESS EVALUATION: In this article, we describe the method and utility of the user-friendly dashboard that was developed for the rapid reporting of dementia evaluations which allows clinical researchers to summarize recruitment metrics, automatically generate letters to both participants and healthcare providers, which ultimately help optimize workflows. CONCLUSIONS: We believe this general framework would be beneficial to any institution that build reports and summarizing key metrics of their research from longitudinal databases. |
format | Online Article Text |
id | pubmed-8327371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83273712021-08-03 CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database Sharma, Palash Montgomery, Robert N Graves, Rasinio S Meyer, Kayla Hunt, Suzanne L Vidoni, Eric D Mahnken, Jonathan D Swerdlow, Russell H Burns, Jeffrey M Mudaranthakam, Dinesh Pal JAMIA Open Case Report BACKGROUND: The University of Kansas Alzheimer’s Disease Center (KU ADC) maintains several large databases to track participant recruitment, enrollment, and capture various research-related activities. It is challenging to manage and coordinate all the research-related activities. One of the crucial activities involves generating a consensus diagnosis and communicating with participants and their primary care providers. PROCESS: To effectively manage the cohort, the KU ADC utilizes a combination of open-source electronic data capture (EDC) (i.e. REDCap), along with other homegrown data management and analytic systems developed using R-studio and Shiny. PROCESS EVALUATION: In this article, we describe the method and utility of the user-friendly dashboard that was developed for the rapid reporting of dementia evaluations which allows clinical researchers to summarize recruitment metrics, automatically generate letters to both participants and healthcare providers, which ultimately help optimize workflows. CONCLUSIONS: We believe this general framework would be beneficial to any institution that build reports and summarizing key metrics of their research from longitudinal databases. Oxford University Press 2021-08-02 /pmc/articles/PMC8327371/ /pubmed/34350395 http://dx.doi.org/10.1093/jamiaopen/ooab060 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Case Report Sharma, Palash Montgomery, Robert N Graves, Rasinio S Meyer, Kayla Hunt, Suzanne L Vidoni, Eric D Mahnken, Jonathan D Swerdlow, Russell H Burns, Jeffrey M Mudaranthakam, Dinesh Pal CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title | CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title_full | CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title_fullStr | CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title_full_unstemmed | CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title_short | CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database |
title_sort | consensus: a shiny application of dementia evaluation and reporting for the ku adc longitudinal clinical cohort database |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327371/ https://www.ncbi.nlm.nih.gov/pubmed/34350395 http://dx.doi.org/10.1093/jamiaopen/ooab060 |
work_keys_str_mv | AT sharmapalash consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT montgomeryrobertn consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT gravesrasinios consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT meyerkayla consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT huntsuzannel consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT vidoniericd consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT mahnkenjonathand consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT swerdlowrussellh consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT burnsjeffreym consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase AT mudaranthakamdineshpal consensusashinyapplicationofdementiaevaluationandreportingforthekuadclongitudinalclinicalcohortdatabase |